What are the responsibilities and job description for the Data Scientist position at QuVa Pharma Inc.?
Our Data Scientist plays a vital role within our organization. Once you complete our training, your responsibilities will include the development of artificial intelligence and data assets. This position is responsible for accessing and building data sets, designing and conducting complex analysis, and creating and delivering data visualizations and reports. A strong ability to interpret findings, clearly communicate results, and make recommendations to other members of the LogicStream team and our customers is imperative. In addition, this role will provide support and innovation for our advanced client-facing needs. LogicStream, a QuVa company, is trusted by a community of high-performing healthcare providers and partners to generate clinical insights from clinical data. Join this mission to provide (SaaS) clinical insights, data services, and life science products to provide meaningful data and a long-lasting impact on healthcare across the US.
This is a hybrid position located in the Minneapolis / Twin Cities office.
What the Data Scientist Does Each Day:
- Develop analytical approaches to strategic business decisions
- Extract, cleanse, and combine data from multiple sources and systems
- Write SQL programs to access, clean, and transform required data prior to analysis and reporting
- Perform exploratory and targeted analyses, with a wide variety of statistical methods
- Collaborate cross-functionally to arrive at actionable insights
- Effectively communicate technical analyses and results to business management
- Develop and continually improve multi-source data architecture and analytics procedures, systems, and workflows
- Contribute to the development of end-to-end data driven solutions
- Gather requirements and serve as data experts with development, product management and customer success teams. Take front-end needs and translate them into achievable technical tasks
- Efficiently manage long-term projects, starting with hypothesis development and data gathering, then analysis and modeling, and through to communications and recommendations
- Troubleshoot and perform data audits to ensure and improve data integrity; investigate and resolve data discrepancies
- Develop and improve performance models using machine learning
- Test and evaluate the quality of algorithms using statistical methods
- Network across the organization to identify and communicate opportunities to apply data science and machine learning to product design and processes
Our Most Successful Data Scientist:
- Has the aptitude to learn new technologies and troubleshoot complex problems independently
- Mentors and guides other team members and colleagues in the domain area
- Develops a clear understanding of customer requirements and meet or exceed those expectations
- Has creative energy, is a self-starter, and works equally well independently and collaboratively
- Has flexibility and the ability to adapt to changes in priority quickly and seamlessly
- Has excellent communication and organization skills with the ability to manage competing priorities, meet deadlines, and process ad-hoc requests
- Proficient with one or more data mining/predictive modeling tools: Python, R, Snowflake
- Has experience writing reports focused on concepts such as clinician notes and documentation, medications, laboratory and pathology results, and operative reports, etc.
- Is skilled with customer interactions that promote adaptive and effective use of data solutions and the LogicStream software
- Effectively manages multiple projects and activities on a routine basis with minimal supervision
- Understands testing and evaluating the quality of data sets, algorithms and visualizations
- Is Familiar with HIPAA, PHI and Quality and Safety Regulations
Minimum Requirements for this Role:
- A bachelor’s degree in statistics, computer science, mathematics, or related field
- 3 years of work experience in a predictive analytics-focused role
- Strong knowledge of statistical methods and predictive/analytical modeling techniques and practices
- Experience synthesizing and presenting analytics outcomes to senior executives
- Experience with data preparation, rationalization, and processing in a cloud environment
- Highly proficient with one or more data mining/predictive modeling tools: SQL, Snowflake, R, Python
- Highly proficient with one or more data visualization tools: Tableau, Power BI
- Experience working with large-scale datasets and multiple projects simultaneously
- Working knowledge of one or more Electronic Health Record Platforms (Cerner or EPIC preferred)
- Strong SQL query writing skills in a Microsoft environment
- Able to successfully complete a drug and background check
- Must be currently authorized to work in the United States on a full-time basis; QuVa is not able to sponsor applicants for work visas
Any of the Following Will Give You an Edge:
- Master’s degree
- Healthcare industry experience
Benefits of Working at QuVa:
- Comprehensive health and wellness benefits including medical, dental and vision
- 401k retirement program with company match
- 17 paid days off plus 8 paid holidays per year
- National, industry-leading high growth company with future career advancement opportunities
About QuVa:
QuVa is a national, industry-leading provider of pharmacy services, including ready-to-administer sterile outsourcing and advanced AI-generated insights providing clarity for revenue capture and inventory management. QuVa Pharma delivers essential medications in injectable formats critical for effective patient care. LogicStream, a QuVa company, partners with health systems to aggregate, normalize, and analyze large amounts of complex data through AI and machine learning tools that generate actionable insights supporting revenue optimization, inventory management, and inventory-related workflows. Through QuVa’s integrated solutions, health systems can transform pharmacy management to achieve greater value by operating more efficiently and effectively as they deliver high-quality patient care.
QuVa is an equal opportunity employer and is committed to creating and maintaining a work environment that is free from all forms of discrimination and harassment. QuVa's Equal Opportunity Policy prohibits harassment or discrimination due to age, ancestry, color, disability, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, race, religious creed, sex (including pregnancy, childbirth, breastfeeding, and any related medical conditions), sexual orientation, and any other characteristic or classification protected by applicable laws. All employment with QuVa is “at will.”
